op {
  graph_op_name: "QuantizedReluX"
  in_arg {
    name: "min_features"
    description: <<END
The float value that the lowest quantized value represents.
END
  }
  in_arg {
    name: "max_features"
    description: <<END
The float value that the highest quantized value represents.
END
  }
  out_arg {
    name: "activations"
    description: <<END
Has the same output shape as "features".
END
  }
  out_arg {
    name: "min_activations"
    description: <<END
The float value that the lowest quantized value represents.
END
  }
  out_arg {
    name: "max_activations"
    description: <<END
The float value that the highest quantized value represents.
END
  }
  summary: "Computes Quantized Rectified Linear X: `min(max(features, 0), max_value)`"
}
